Thermodiluted relative tidal volume estimation using a thermal camera in operating room under spinal anesthesia
Abstract Background Estimating relative tidal volume is an important factor when monitoring breathing status. The relationship between temperature and respiration volume has rarely been studied. In this paper, a formula was derived for calculating thermodiluted respiration volume from temperature ch...
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Format: | Article |
Language: | English |
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BMC
2022-09-01
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Series: | BioMedical Engineering OnLine |
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Online Access: | https://doi.org/10.1186/s12938-022-01028-0 |
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author | JunHwan Kwon Oyun Kwon KyeongTeak Oh Jeongmin Kim Cheung Soo Shin Sun K. Yoo |
author_facet | JunHwan Kwon Oyun Kwon KyeongTeak Oh Jeongmin Kim Cheung Soo Shin Sun K. Yoo |
author_sort | JunHwan Kwon |
collection | DOAJ |
description | Abstract Background Estimating relative tidal volume is an important factor when monitoring breathing status. The relationship between temperature and respiration volume has rarely been studied. In this paper, a formula was derived for calculating thermodiluted respiration volume from temperature changes in the nasal cavity. To evaluate the proposed formula, the study compared the relative tidal volume estimated by the proposed formula with that recorded by a respiration volume monitor (Exspiron1Xi, RVM). Thermal data were obtained for 8 cases at a rate of 10 measurements per second. Simultaneous recordings by the RVM are regarded as the reference. Results The mean of ICC coefficient is 0.948 ± 0.030, RMSE is 0.1026 ± 0.0284, R-squared value is 0.8962 ± 0.065 and linear regression coefficient $$\mathrm{\alpha }$$ α is 0.966 ± 0.104, $$\upbeta$$ β is 0.042 ± 0.057. Bland–Altman plot showed 96.01% of samples that the difference between the measured and estimated values exists within 2 standard deviations. Conclusions In this paper, a model that can thermodynamically calculate the relationship between thermal energy and respiration volume is proposed. The thermodiluted model is a feasible method for estimating relative respiration tidal volumes. |
first_indexed | 2024-04-12T05:17:44Z |
format | Article |
id | doaj.art-1826864ceba14be0848f0d6abf08c2d5 |
institution | Directory Open Access Journal |
issn | 1475-925X |
language | English |
last_indexed | 2024-04-12T05:17:44Z |
publishDate | 2022-09-01 |
publisher | BMC |
record_format | Article |
series | BioMedical Engineering OnLine |
spelling | doaj.art-1826864ceba14be0848f0d6abf08c2d52022-12-22T03:46:34ZengBMCBioMedical Engineering OnLine1475-925X2022-09-0121111610.1186/s12938-022-01028-0Thermodiluted relative tidal volume estimation using a thermal camera in operating room under spinal anesthesiaJunHwan Kwon0Oyun Kwon1KyeongTeak Oh2Jeongmin Kim3Cheung Soo Shin4Sun K. Yoo5Department of Medical Engineering, Yonsei University College of MedicineDepartment of Medical Engineering, Yonsei University College of MedicineDepartment of Medical Engineering, Yonsei University College of MedicineDepartment of Anesthesiology and Pain Medicine, Severance Hospital, Anesthesia and Pain Research Institute, Yonsei University College of MedicineDepartment of Anesthesiology and Pain Medicine, Severance Hospital, Anesthesia and Pain Research Institute, Yonsei University College of MedicineDepartment of Medical Engineering, Yonsei University College of MedicineAbstract Background Estimating relative tidal volume is an important factor when monitoring breathing status. The relationship between temperature and respiration volume has rarely been studied. In this paper, a formula was derived for calculating thermodiluted respiration volume from temperature changes in the nasal cavity. To evaluate the proposed formula, the study compared the relative tidal volume estimated by the proposed formula with that recorded by a respiration volume monitor (Exspiron1Xi, RVM). Thermal data were obtained for 8 cases at a rate of 10 measurements per second. Simultaneous recordings by the RVM are regarded as the reference. Results The mean of ICC coefficient is 0.948 ± 0.030, RMSE is 0.1026 ± 0.0284, R-squared value is 0.8962 ± 0.065 and linear regression coefficient $$\mathrm{\alpha }$$ α is 0.966 ± 0.104, $$\upbeta$$ β is 0.042 ± 0.057. Bland–Altman plot showed 96.01% of samples that the difference between the measured and estimated values exists within 2 standard deviations. Conclusions In this paper, a model that can thermodynamically calculate the relationship between thermal energy and respiration volume is proposed. The thermodiluted model is a feasible method for estimating relative respiration tidal volumes.https://doi.org/10.1186/s12938-022-01028-0RespirationTidal volumeThermal cameraNon-contact |
spellingShingle | JunHwan Kwon Oyun Kwon KyeongTeak Oh Jeongmin Kim Cheung Soo Shin Sun K. Yoo Thermodiluted relative tidal volume estimation using a thermal camera in operating room under spinal anesthesia BioMedical Engineering OnLine Respiration Tidal volume Thermal camera Non-contact |
title | Thermodiluted relative tidal volume estimation using a thermal camera in operating room under spinal anesthesia |
title_full | Thermodiluted relative tidal volume estimation using a thermal camera in operating room under spinal anesthesia |
title_fullStr | Thermodiluted relative tidal volume estimation using a thermal camera in operating room under spinal anesthesia |
title_full_unstemmed | Thermodiluted relative tidal volume estimation using a thermal camera in operating room under spinal anesthesia |
title_short | Thermodiluted relative tidal volume estimation using a thermal camera in operating room under spinal anesthesia |
title_sort | thermodiluted relative tidal volume estimation using a thermal camera in operating room under spinal anesthesia |
topic | Respiration Tidal volume Thermal camera Non-contact |
url | https://doi.org/10.1186/s12938-022-01028-0 |
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